Lead AI Engineer

Epam Systems; Chennai District, Coimbatore District; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Epam Systems invites an experienced Lead AI Engineer to pioneer AI/ML and GenAI solutions in production. You will design, build, and deploy scalable models, ETL data pipelines, and LLM-based applications while leading a diverse team across the organization.

You will own end-to-end delivery—from development to deployment, monitoring, and optimization—collaborating with cross-functional stakeholders to drive business outcomes.

Qualifications

• 10+ years in IT with AI/ML focus preferred.
• Hands-on leadership in AI projects and teams.
• Strong Python programming and data pipeline skills.
• Experience with modern ML frameworks and MLOps tools.

Responsibilities

• Build and deploy scalable AI/ML models and GenAI solutions in production.
• Design and maintain robust ETL pipelines and data workflows.
• Develop LLM-based applications using modern frameworks.
• Implement prompt engineering for optimized AI outputs.
• Deploy models via APIs and integrate with enterprise apps.
• Own end-to-end lifecycle including monitoring and optimization.
• Collaborate with cross-functional teams to deliver AI solutions.

Skills

Python

ETL pipelines

LLM frameworks

AI engineering

MLOps

API development

Cloud platforms

Leadership

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

Kubeflow

Airflow

MLflow

Databricks

PySpark

Job description

We are looking for an experienced Lead AI Engineer to pioneer innovative AI and machine learning solutions, shaping the development and deployment of cutting‑edge generative AI applications. This role offers the opportunity to lead the charge in creating AI-driven efficiencies and impactful business outcomes while collaborating with diverse teams across the organization.

Responsibilities

• Build and deploy scalable AI/ML models and GenAI solutions in production
• Design and maintain robust ETL pipelines and data workflows
• Develop LLM-based applications using modern frameworks
• Implement prompt engineering techniques for optimized AI outputs
• Deploy models via APIs and integrate with enterprise applications
• Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
• Collaborate with cross-functional teams to deliver business-driven AI solutions

Requirements

• 8-13 years of general IT experience
• 8+ years of experience in AI Engineering
• At least 1 year of relevant leadership experience
• Strong programming skills in Python
• Hands-on experience with ETL and Data Pipelines
• Expertise in ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn
• Understanding of Prompt Engineering and working with LLMs
• Familiarity with LLM frameworks like LangChain, LlamaIndex, Hugging Face
• Cloud experience with Azure, AWS, or GCP
• Proficiency in MLOps tools like MLflow, Kubeflow, Airflow
• Strong experience in API development and Model DeploymentB2 level of English or higher, with an emphasis on technical communication skills

Nice to have

• Experience with RAG architectures and vector databases
• Knowledge of real-time or streaming data pipelines
• Exposure to scalable system design and microservices architecture
• Showcase of expertise in Databricks, PySpark
• Background in Cloud Data Solutions and ETL Pipelines